gruby_dyskurs

Referencje:

Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:

ds = tfds.load('huggingface:coarse_discourse')
  • Opis :
dataset contains discourse annotation and relation on threads from reddit during 2016
  • Licencja : Brak znanej licencji
  • Wersja : 0.1.0
  • Podziały :
Podział Przykłady
'train' 116357
  • Cechy :
{
    "title": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "is_self_post": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "subreddit": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "url": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "majority_link": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "is_first_post": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "majority_type": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "id_post": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "post_depth": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "in_reply_to": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "annotations": {
        "feature": {
            "annotator": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "link_to_post": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "main_type": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}